Outcomes up to age 36 months after congenital Zika virus infection-U.S. states

Varsha Neelam1, Kate R Woodworth2, Daniel J Chang3

  • 1Division of Birth Defects and Infant Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, USA. pju4@cdc.gov.

Pediatric Research
|September 1, 2023
PubMed

Insights

Congenital Zika virus exposure can lead to significant neurodevelopmental abnormalities, including brain issues and developmental delays, in infants. Early identification and support are crucial for affected children and families.

Area of Science:

  • Pediatric Neurology
  • Infectious Diseases
  • Developmental Pediatrics

Background:

  • Congenital Zika virus exposure poses risks for neurodevelopmental abnormalities in infants.
  • Characterizing these abnormalities is essential for understanding long-term health outcomes.

Purpose of the Study:

  • To characterize neurodevelopmental abnormalities in children up to 36 months of age with congenital Zika virus exposure.
  • To understand the prevalence of developmental delays and healthcare needs in this population.

Main Methods:

  • Utilized data from the U.S. Zika Pregnancy and Infant Registry.
  • Analyzed pregnancy outcomes, birth defects, neurologic sequelae, and developmental delays in infants with and without Zika-associated birth defects (ZBD).

Main Results:

  • 5.4% of infants had Zika-associated birth defects (ZBD), with 91.8% exhibiting brain abnormalities or microcephaly.
  • Neurologic sequelae were significantly more common in children with ZBD (44.6%) compared to those without (1.5%).
  • Developmental delay was confirmed or possible in 46.8% of children with ZBD versus 7.4% without ZBD.

Conclusions:

  • Neurologic sequelae and developmental delays are common in children with congenital Zika virus exposure and ZBD.
  • Understanding these outcomes informs health systems planning for essential services for affected families.
  • Longitudinal follow-up is critical but challenging within surveillance models.
Abstract